Fusion strategies in multimodal biometric verification

The aim of this paper, regarding multimodal biometric verification, is twofold: on one hand, to compare experimentally a selection of them using as monomodal baseline systems as our template-based face, minutiae-based fingerprint and HMM-based on-line signature verification systems on the MCYT multimodal database. A new strategy is proposed and discussed in order to compute a multimodal combined score by means of support vector machine (SVM) classifiers.